扩展自适应中值滤波器的原理与实现

在图像处理领域中噪声滤除是图像预处理阶段一项必不可少的工作。在许多场合都会遇到高强度噪声的图像，特别是椒盐噪声的滤除非常困难。本文对空间域的常用噪声滤波技术的不足进行了分析，提出了一种新的滤波器技术——扩展自适应中值滤波器技术。该技术不仅继承了原自适应中值滤波器技术的优点，而且还弥补了它的不足，解决了高强度噪声干扰下图像的滤波问题，滤波效果相当理想。最后，给出了几种滤波技术的滤波效果比较图，验证了本文提出的滤波新方法对椒盐噪声的滤除能力。

The Principle and Implementation for Extended Adaptive Median Filter

Noise filtering is a necessary step on image pre-processing stage in digital image processing. In most situations we will deal with image noise with high density, especially it is very difficult for processing image corrupted by salt-and-pepper noise with high probabilities. In this paper, the disadvantage of normal noise filter working in spatial domain was analyzed, and a new filtering technique, that is, extended adaptive median filtering technique was proposed. The extended adaptive median filtering not only inherites the advantages from standard adaptive median filter, but also remedies the corresponding disadvantages. It resolves the filtering problem for image corrupted with high density, and derives reasonable perfective effect. Finally several resulting figures from filtering technique effect figures are presented to verify the new noise filtering technique developed in this paper.